AI-Driven Exploration of Structural Virality and Influencing Elements in Online Information Diffusal

Structural virality is a measure for how much information spreads across multiple user generations. It is important because it can help us better understand how information spreads online and develop new, useful techniques for influencing and limiting it. The application of recent developments in artificial intelligence to the analysis and understanding of the structural virality of online information diffusion is discussed in this paper. In the paper, the proposed techniques are verified as well and compared against other state-of-the-art approaches. The study's conclusions suggest that artificial intelligence (AI) possesses the potential to significantly expand our understanding of how information diffuses online and to develop novel, useful strategies for regulating and influencing the diffusion.